Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer

Improving the energy efficiency of information transmission is very critical to future Internet of Things' development. Considering the sporadic characteristics for IoT transmissions, energy consumption for individual transmission sessions significantly varies with channel condition and Quality of Service (QoS) requirements. In this study, we focus on the analysis and optimization for wireless relaying communications' statistical energy consumption. Particularly, we investigate a wirelessly-powered relaying communication system with Decode and Forward (DF) mode. Under Time Switching (TS) and Power Splitting (PS) modes, we analyze and minimize the statistical energy consumption of transmitting a fixed amount of data using mathematical analysis. Through some numerical examples, we discuss various design tradeoffs in terms of this case. These results will provide some important guidelines for the design of green IoT communication systems.